Research Scientist, Multi-Modal Human Understanding
Read straight from Meta Platforms's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Salary$122k – $181k
LocationPittsburgh, PA; Burlingame, CA
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentAI Research, Artificial Intelligence, AR/VR, Research, University Grad - PhD & Postdoc, Facebook Reality Labs
EquityIncluded
Company size10,000+ people
PostedSep 1, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
2+ years of experience in multi-modal AI research, including hands-on work with Vision-Language Models, video understanding, or human-centric AI systems
2+ years of experience implementing and training large-scale neural networks using frameworks such as PyTorch, with experience on transformer-based architectures
Experience designing and executing experiments to evaluate multi-modal model performance, including quantitative analysis across vision, language, and video benchmarks
Experience writing production-quality or research-quality code in Python for multi-modal AI applications
Experience developing or fine-tuning Vision-Language Models for human understanding tasks
Experience with video foundation models, temporal transformers, or large-scale video pretraining
Track record of contributing to published multi-modal AI research at venues such as CVPR, ICCV, or NeurIPS
Experience with generative models for human synthesis including diffusion models, GANs, or autoregressive models for video or motion generation
Skills
PyTorch
Python
Vision-Language Models
transformers
GANs
diffusion models
About the role
Meta is seeking a Research Scientist to advance multi-modal AI technologies for human understanding and synthesis. In this role, you will develop Vision-Language Models (VLMs) and video foundation models that enable machines to perceive, interpret, and generate rich representations of human behavior, expression, and interaction. Your research will span multi-modal reasoning, video understanding, and generative synthesis, enabling more natural and intuitive human-computer interaction at scale.
Responsibilities
•
Design and implement novel multi-modal architectures that fuse vision, language, and temporal signals for holistic human understanding
•
Develop and train Vision-Language Models (VLMs) for tasks including visual question answering, image-text reasoning, and grounded human-centric understanding
•
Build video foundation models capable of temporal reasoning, action synthesis and long-form video synthesis with applications to human behavior synthesis
•
Research generative synthesis techniques for human-centric content including video generation, motion synthesis, and multi-modal content creation
•
Conduct rigorous experiments to evaluate model performance across diverse benchmarks, analyze failure modes, and iterate on architectures to improve accuracy and generalization
•
Contribute to the full research lifecycle from problem formulation and dataset curation through model development and evaluation
Minimum qualifications
•
Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
•
2+ years of experience in multi-modal AI research, including hands-on work with Vision-Language Models, video understanding, or human-centric AI systems
•
2+ years of experience implementing and training large-scale neural networks using frameworks such as PyTorch, with experience on transformer-based architectures
•
Experience designing and executing experiments to evaluate multi-modal model performance, including quantitative analysis across vision, language, and video benchmarks
•
Experience writing production-quality or research-quality code in Python for multi-modal AI applications
Preferred qualifications
•
Experience developing or fine-tuning Vision-Language Models for human understanding tasks
•
Experience with video foundation models, temporal transformers, or large-scale video pretraining
•
Track record of contributing to published multi-modal AI research at venues such as CVPR, ICCV, or NeurIPS
•
Experience with generative models for human synthesis including diffusion models, GANs, or autoregressive models for video or motion generation